scholarly journals Research on the Field Dynamic Balance Technologies for Large Diesel Engine Crankshaft System

2017 ◽  
Vol 2017 ◽  
pp. 1-10 ◽  
Author(s):  
Shihai Zhang ◽  
Zimiao Zhang
Keyword(s):  
Diesel Engine ◽  
Field Experiments ◽  
Vibration Signal ◽  
Least Square Method ◽  
Least Square ◽  
Influence Coefficient ◽  
Dynamic Balancing ◽  
Field Dynamic ◽  
Engine Crankshaft ◽  
Field Dynamic Balancing

In order to reduce the unbalancing mass and the accompanying unbalancing vibration of diesel engine crankshaft system, the field dynamic balancing method and its key technologies are presented in the paper. In order to separate the unbalancing vibration signal from the total vibration signal of crankshaft system, the fundamental frequency signal fitting principle based on the least square method was introduced firstly, and then wavelet noise reduction method was applied to improve the signal fitting precision of least square method. Based on the unbalancing vibration signal analysis and assessment of crankshaft system, the influence coefficient method was applied to calculate the value and phase of the equivalent unbalancing mass in flywheel. To easily correct the unbalancing condition of crankshaft system, the unbalancing adjustment equipment was designed based on the flywheel structure. The balancing effect of field dynamic balancing system designed for the large diesel engine has been verified by field experiments.

Study on the Field Dynamic Balance of Diesel Engine Crankshaft

2013 ◽  
Vol 307 ◽  
pp. 299-303
Author(s):  
Shi Xun Jiang ◽  
Shi Hai Zhang ◽  
Zhi Min Yu
Keyword(s):  
Diesel Engine ◽  
Dynamic Balance ◽  
Least Square Method ◽  
Least Square ◽  
Vibration Monitoring ◽  
Influence Coefficient ◽  
Balance System ◽  
Influence Coefficient Method ◽  
Field Dynamic ◽  
Engine Crankshaft

Abstract：Based on the actual situations of diesel engines, significance of dynamic balance for marine diesel engine crankshaft system is discussed and as well vibration monitoring and field dynamic balance system for diesel engine crankshaft system is constructed. The least square method is applied to fit fundamental frequency vibration signals of crankshaft system and the field dynamic balance strategy is designed on the basis of the influence coefficient method. The feasibility of the dynamic balance system is tested through experiments in the paper.

Research for the Crack Dynamic Monitoring of Marine Diesel Engine

2014 ◽  
Vol 556-562 ◽  
pp. 3107-3111
Author(s):  
Zhi Min Yu ◽  
Shi Hai Zhang ◽  
Shi Xun Jiang
Keyword(s):  
Diesel Engine ◽  
Fatigue Fracture ◽  
Dynamic Balance ◽  
Dynamic Monitoring ◽  
Influence Coefficient ◽  
Marine Diesel Engine ◽  
Balance System ◽  
Marine Diesel ◽  
Field Dynamic ◽  
Engine Crankshaft

crankshaft is one of the most important parts and crankshaft fatigue fracture is a major failure. In order to alert fatigue fracture of crankshaft to prevent accidents, diesel engine crankshaft dynamic monitoring based on the actual situations of diesel engines, significance of dynamic balance for marine diesel engine crankshaft system is discussed and as well vibration monitoring and field dynamic balance system for diesel engine crankshaft system is constructed. The least square method is applied to fit fundamental frequency vibration signals of crankshaft system and the field dynamic balance strategy is designed on the basis of the influence coefficient method. The feasibility of the dynamic balance system is tested through experiments in the paper.

Parameters Identification for Nonlinear Duffing System Based on Wavelet Transformation

2013 ◽  
Vol 357-360 ◽  
pp. 1524-1530
Author(s):  
Shi Zhou ◽  
Dong Mei Huang ◽  
Wei Xin Ren ◽  
Qiong Li Wang
Keyword(s):  
Forced Vibration ◽  
Wavelet Transformation ◽  
Recognition Accuracy ◽  
Vibration Signal ◽  
Least Square Method ◽  
Least Square ◽  
Instantaneous Amplitude ◽  
Approximate Analytical Expression ◽  
Duffing System ◽  
The Relationship

Continuous wavelet transformation is made to identify the parameters of damped harmonic forced vibration Duffing system. With the aid of conversion relationship between the scale and frequency, the solution of nonlinear Duffing equation is adopted by average method, which gained approximate analytical expression for instantaneous amplitude and instantaneous frequency of the system. The nonlinear stiffness coefficient and natural frequency can be gained by least square method and the relationship between recognition accuracy and parameter selection are summarized in the article. Parameter identification method of harmonic forced vibration system is proposed in this paper. Studying the wavelet ridge and corresponding scale by segments to filter out the affects of the simple harmonic motion, to extract systems free vibration signal and to achieve the goal of identifying system parameters.

scholarly journals Vibration Signal Extraction Based on FFT and Least Square Method

IEEE Access ◽  
2020 ◽  
pp. 1-1
Author(s):  
Yongliang Wang ◽  
Longkai Zheng ◽  
Gaoyang ◽  
Shihao Li
Keyword(s):  
Vibration Signal ◽  
Least Square Method ◽  
Least Square ◽  
Signal Extraction
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